Skip to main content

Audit, compress and monitor your LLM token usage in 2 lines of code

Project description

Tokoscope Python SDK

Audit, compress, and monitor your LLM token usage in 2 lines of code.

PyPI version PyPI downloads License: MIT Python 3.8+

Tokoscope sits between your app and any LLM API. It tracks every call, scores your prompts for waste, compresses bloated inputs automatically, and shows you exactly where your token budget is going.

Works with OpenAI and Anthropic out of the box.


Installation

pip install tokoscope

Quick start

OpenAI

from openai import OpenAI
from tokoscope import wrap

client = wrap(OpenAI(), api_key="ts_live_...")  # get your key at app.tokoscope.com

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}]
)

print(response.choices[0].message.content)

Anthropic

from anthropic import Anthropic
from tokoscope import wrap

client = wrap(Anthropic(), api_key="ts_live_...")

response = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}]
)

print(response.content[0].text)

That's it. Every API call is now tracked automatically.


Real example

Original prompt: 113 tokens

Please note that it is very important that you make sure to respond
to my question. As an AI, I want you to please make sure that you
understand that I need you to help me...
What is the capital of France?

Tokoscope compressed: 8 tokens

What is the capital of France? Answer concisely.

Result: 90% token reduction. Same answer.


What you get

Once integrated, your Tokoscope dashboard shows:

  • Token usage broken down by model, endpoint, and provider
  • Cost per request calculated automatically using current pricing
  • Waste score for every prompt
  • Auto-compression — prompts with high waste scores are automatically rewritten
  • Budget alerts — get notified before costs spike

Supported providers

Provider Status
OpenAI ✅ Supported
Anthropic ✅ Supported
Gemini 🔜 Coming soon
Mistral 🔜 Coming soon

Requirements

  • Python 3.8+
  • requests library (installed automatically)

License

MIT


Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tokoscope-0.2.0.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tokoscope-0.2.0-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file tokoscope-0.2.0.tar.gz.

File metadata

  • Download URL: tokoscope-0.2.0.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for tokoscope-0.2.0.tar.gz
Algorithm Hash digest
SHA256 9f25daafc9414e363059c5af4c0d9a42a61cdca8ae23333815677205c5a99004
MD5 cc545b6bfdfb61cb359638508d983c81
BLAKE2b-256 45cb160ec899669e16983f8b1283e17fce53f88f5665d91b29b42449dae78af8

See more details on using hashes here.

File details

Details for the file tokoscope-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: tokoscope-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 5.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for tokoscope-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5754c404bb2fabc66bc3195d229b27a2ac114b54866f681a63a8b5dec33085ca
MD5 6b2dd86808e88d3eed128fc559136767
BLAKE2b-256 92086affa0822213f701c7d1b16ced79921cc845a0d354c777faae4cfbc542dc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page